Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2009-02-11 09:08:57	ga_ls7e_ard_3-0-0_090081_2009-02-10_final
2009-02-11 09:10:09	ga_ls7e_ard_3-0-0_090084_2009-02-10_final
2009-02-11 09:10:33	ga_ls7e_ard_3-1-0_090085_2009-02-10_final
2009-02-11 09:10:57	ga_ls7e_ard_3-0-0_090086_2009-02-10_final
2009-03-27 09:28:28	ga_ls7e_ard_3-1-0_094067_2009-03-26_final
2009-04-16 09:09:26	ga_ls7e_ard_3-0-0_090081_2009-04-15_final
2009-04-16 09:09:50	ga_ls7e_ard_3-0-0_090082_2009-04-15_final
2009-04-16 09:10:14	ga_ls7e_ard_3-0-0_090083_2009-04-15_final
2009-04-16 09:10:38	ga_ls7e_ard_3-0-0_090084_2009-04-15_final
2009-04-16 09:11:02	ga_ls7e_ard_3-1-0_090085_2009-04-15_final
2009-04-16 09:11:26	ga_ls7e_ard_3-0-0_090086_2009-04-15_final
2014-11-15 09:21:56	ga_ls7e_ard_3-0-0_091077_2014-11-14_final
2014-11-15 09:22:20	ga_ls7e_ard_3-0-0_091078_2014-11-14_final
2014-11-15 09:22:44	ga_ls7e_ard_3-0-0_091079_2014-11-14_final
2014-11-15 09:23:08	ga_ls7e_ard_3-0-0_091080_2014-11-14_final
2014-11-15 09:23:32	ga_ls7e_ard_3-0-0_091081_2014-11-14_final
2014-11-15 09:23:55	ga_ls7e_ard_3-0-0_091082_2014-11-14_final
2014-11-17 09:12:21	ga_ls7e_ard_3-0-0_089084_2014-11-16_final
2014-11-17 09:12:45	ga_ls7e_ard_3-0-0_089085_2014-11-16_final
2014-11-17 09:13:09	ga_ls7e_ard_3-0-0_089086_2014-11-16_final
2015-02-10 09:27:45	ga_ls7e_ard_3-0-0_092075_2015-02-09_final
2015-02-10 09:28:09	ga_ls7e_ard_3-0-0_092076_2015-02-09_final
2015-02-10 09:28:33	ga_ls7e_ard_3-0-0_092077_2015-02-09_final
2015-02-10 09:28:57	ga_ls7e_ard_3-0-0_092078_2015-02-09_final
2015-02-12 09:17:45	ga_ls7e_ard_3-0-0_090081_2015-02-11_final
2015-02-12 09:18:09	ga_ls7e_ard_3-0-0_090082_2015-02-11_final
2015-02-12 09:18:33	ga_ls7e_ard_3-0-0_090083_2015-02-11_final
2015-02-12 09:18:57	ga_ls7e_ard_3-0-0_090084_2015-02-11_final
2015-02-12 09:19:21	ga_ls7e_ard_3-1-0_090085_2015-02-11_final
2015-02-12 09:19:45	ga_ls7e_ard_3-0-0_090086_2015-02-11_final
2015-03-05 09:30:56	ga_ls7e_ard_3-0-0_093067_2015-03-05_final
2015-05-19 09:18:33	ga_ls7e_ard_3-0-0_090081_2015-05-18_final
2015-05-19 09:18:57	ga_ls7e_ard_3-0-0_090082_2015-05-18_final
2015-06-18 09:28:40	ga_ls7e_ard_3-0-0_092075_2015-06-17_final
2015-06-18 09:29:04	ga_ls7e_ard_3-0-0_092076_2015-06-17_final
2015-06-18 09:29:28	ga_ls7e_ard_3-0-0_092077_2015-06-17_final
2015-06-18 09:29:52	ga_ls7e_ard_3-1-0_092078_2015-06-17_final
2017-12-30 09:40:25	ga_ls7e_ard_3-1-0_094067_2017-12-30_final
2018-01-03 09:21:14	ga_ls7e_ard_3-0-0_090081_2018-01-02_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-01-03 09:22:02	ga_ls7e_ard_3-0-0_090083_2018-01-02_final
2018-01-03 09:22:26	ga_ls7e_ard_3-0-0_090084_2018-01-02_final
2018-01-03 09:22:50	ga_ls7e_ard_3-0-0_090085_2018-01-02_final
2018-01-03 09:23:14	ga_ls7e_ard_3-0-0_090086_2018-01-02_final
2018-03-01 09:15:53	ga_ls7e_ard_3-0-0_089085_2018-02-28_final
2018-03-01 09:16:17	ga_ls7e_ard_3-0-0_089086_2018-02-28_final
2018-03-20 09:39:22	ga_ls7e_ard_3-1-0_094067_2018-03-20_final
2018-03-24 09:20:11	ga_ls7e_ard_3-0-0_090081_2018-03-23_final
2018-03-24 09:20:35	ga_ls7e_ard_3-1-0_090082_2018-03-23_final
2018-03-24 09:20:59	ga_ls7e_ard_3-0-0_090083_2018-03-23_final
2018-03-24 09:21:23	ga_ls7e_ard_3-0-0_090084_2018-03-23_final
2018-03-24 09:21:47	ga_ls7e_ard_3-1-0_090085_2018-03-23_final
2018-03-24 09:22:10	ga_ls7e_ard_3-0-0_090086_2018-03-23_final
2018-07-21 09:22:42	ga_ls7e_ard_3-0-0_091077_2018-07-20_final
2018-07-21 09:23:06	ga_ls7e_ard_3-0-0_091078_2018-07-20_final
2018-07-21 09:23:30	ga_ls7e_ard_3-0-0_091079_2018-07-20_final
2018-07-21 09:23:54	ga_ls7e_ard_3-0-0_091080_2018-07-20_final
2018-07-21 09:24:18	ga_ls7e_ard_3-0-0_091081_2018-07-20_final
2018-07-21 09:24:42	ga_ls7e_ard_3-0-0_091082_2018-07-20_final
2018-10-18 09:16:37	ga_ls7e_ard_3-1-0_090082_2018-10-17_final
2018-10-18 09:17:01	ga_ls7e_ard_3-0-0_090083_2018-10-17_final
2018-10-18 09:17:25	ga_ls7e_ard_3-0-0_090084_2018-10-17_final
2018-10-18 09:17:49	ga_ls7e_ard_3-1-0_090085_2018-10-17_final
2018-10-18 09:18:13	ga_ls7e_ard_3-0-0_090086_2018-10-17_final
2018-11-26 09:19:55	ga_ls7e_ard_3-0-0_091077_2018-11-25_final
2018-11-26 09:20:19	ga_ls7e_ard_3-0-0_091078_2018-11-25_final
2018-11-26 09:20:43	ga_ls7e_ard_3-0-0_091079_2018-11-25_final
2018-11-26 09:21:07	ga_ls7e_ard_3-0-0_091080_2018-11-25_final
2018-11-26 09:21:31	ga_ls7e_ard_3-0-0_091081_2018-11-25_final
2018-11-26 09:21:55	ga_ls7e_ard_3-0-0_091082_2018-11-25_final
2019-01-13 09:18:32	ga_ls7e_ard_3-0-0_091077_2019-01-12_final
2019-01-13 09:18:56	ga_ls7e_ard_3-0-0_091078_2019-01-12_final
2019-01-13 09:19:20	ga_ls7e_ard_3-0-0_091079_2019-01-12_final
2019-01-13 09:19:44	ga_ls7e_ard_3-0-0_091080_2019-01-12_final
2019-01-13 09:20:08	ga_ls7e_ard_3-1-0_091081_2019-01-12_final
2019-01-13 09:20:32	ga_ls7e_ard_3-0-0_091082_2019-01-12_final
2019-01-15 09:09:18	ga_ls7e_ard_3-0-0_089085_2019-01-14_final
2019-01-15 09:09:42	ga_ls7e_ard_3-1-0_089086_2019-01-14_final
2019-03-02 09:17:03	ga_ls7e_ard_3-1-0_091077_2019-03-01_final
2019-03-02 09:17:51	ga_ls7e_ard_3-1-0_091079_2019-03-01_final
2019-03-02 09:18:15	ga_ls7e_ard_3-1-0_091080_2019-03-01_final
2019-03-02 09:18:39	ga_ls7e_ard_3-1-0_091081_2019-03-01_final
2019-03-02 09:19:03	ga_ls7e_ard_3-1-0_091082_2019-03-01_final
2019-03-02 09:19:27	ga_ls7e_ard_3-1-0_091083_2019-03-01_final
2019-04-03 09:15:59	ga_ls7e_ard_3-0-0_091077_2019-04-02_final
2019-04-03 09:16:23	ga_ls7e_ard_3-0-0_091078_2019-04-02_final
2019-04-03 09:16:47	ga_ls7e_ard_3-0-0_091079_2019-04-02_final
2019-04-03 09:17:11	ga_ls7e_ard_3-0-0_091080_2019-04-02_final
2019-04-03 09:17:35	ga_ls7e_ard_3-0-0_091081_2019-04-02_final
2019-04-03 09:17:59	ga_ls7e_ard_3-0-0_091082_2019-04-02_final
2019-04-03 09:18:23	ga_ls7e_ard_3-0-0_091083_2019-04-02_final
2019-05-19 09:25:26	ga_ls7e_ard_3-0-0_093074_2019-05-18_final
2019-05-21 09:14:11	ga_ls7e_ard_3-0-0_091077_2019-05-20_final
2019-05-21 09:14:35	ga_ls7e_ard_3-0-0_091078_2019-05-20_final
2019-05-21 09:14:59	ga_ls7e_ard_3-0-0_091079_2019-05-20_final
2019-05-21 09:15:23	ga_ls7e_ard_3-0-0_091080_2019-05-20_final
2019-05-21 09:15:47	ga_ls7e_ard_3-0-0_091081_2019-05-20_final
2019-05-21 09:16:11	ga_ls7e_ard_3-0-0_091082_2019-05-20_final
2019-05-21 09:16:35	ga_ls7e_ard_3-0-0_091083_2019-05-20_final
2019-05-23 09:04:57	ga_ls7e_ard_3-0-0_089085_2019-05-22_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years